Jaipreet Singh
Software Engineer at databricks
Seattle, Washington, United States
Summary
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RockstarJaipreet Singh is a Staff Software Engineer in Seattle with 7 years building distributed systems, ML infrastructure, and developer tooling at scale. He led the end-to-end development and launch of two products at AWS and drove major features for SageMaker Studio, including fully-managed RStudio and enterprise-grade notebook infrastructure. A hands-on tech lead, he has operated high-availability services, mentored SDEs, and coordinated cross-organizational efforts to ship complex cloud products. He is an active open-source contributor in the Jupyter/JupyterLab ecosystem—having maintained jupyterlab-git, helped create jupyterlab-pullrequests, and implemented front-end telemetry—bringing production-grade OSS practices into cloud services. Now at Databricks, he blends deep platform engineering with ML-focused developer experiences, favoring pragmatic redesigns that improve build stability and deployment velocity. Colleagues value him for turning ambiguous product ideas into reliable, scalable engineering outcomes.
7 years of coding experience
Github Skills (53)
git10
notebook10
jupyter10
machine-learning-models10
data-science10
machine-learning10
inference10
pandas-dataframe10
codebuild10
jupyterlab10
mergetool10
reinforcement-learning10
sagemaker10
merge10
sigv410
Programming languages (5)
Github contributions (5)
aws/aws-jupyter-proxy
Aug 2019 - Jul 2021
A Jupyter server extension to proxy requests with AWS SigV4 authentication
Contributions:3 releases, 15 reviews, 17 commits in 1 year 11 months
authenticationawsjupyter-serverproxysigv4
aws-samples/sagemaker-studio-image-build-cli
Aug 2020 - May 2021
CLI for building Docker images in SageMaker Studio using AWS CodeBuild.
Contributions:3 releases, 11 reviews, 10 commits in 8 months
aws-codebuildclidocker-imagesagemakersagemaker-studio
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